| Automatic weakly supervised object detection from high spatial resolution remote sensing images via dynamic curriculum learning X Yao, X Feng, J Han, G Cheng, L Guo IEEE Transactions on Geoscience and Remote Sensing 59 (1), 675-685, 2020 | 137 | 2020 |
| P-CNN: Part-based convolutional neural networks for fine-grained visual categorization J Han, X Yao, G Cheng, X Feng, D Xu IEEE transactions on pattern analysis and machine intelligence 44 (2), 579-590, 2019 | 109 | 2019 |
| Progressive contextual instance refinement for weakly supervised object detection in remote sensing images X Feng, J Han, X Yao, G Cheng IEEE Transactions on Geoscience and Remote Sensing 58 (11), 8002-8012, 2020 | 93 | 2020 |
| TCANet: Triple context-aware network for weakly supervised object detection in remote sensing images X Feng, J Han, X Yao, G Cheng IEEE Transactions on Geoscience and Remote Sensing 59 (8), 6946-6955, 2020 | 82 | 2020 |
| Scale-aware detailed matching for few-shot aerial image semantic segmentation X Yao, Q Cao, X Feng, G Cheng, J Han IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021 | 43 | 2021 |
| Weakly supervised rotation-invariant aerial object detection network X Feng, X Yao, G Cheng, J Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Self-guided proposal generation for weakly supervised object detection G Cheng, X Xie, W Chen, X Feng, X Yao, J Han IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2022 | 22 | 2022 |
| R²IPoints: Pursuing Rotation-Insensitive Point Representation for Aerial Object Detection X Yao, H Shen, X Feng, G Cheng, J Han IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 17 | 2022 |
| DFENet for domain adaptation-based remote sensing scene classification X Zhang, X Yao, X Feng, G Cheng, J Han IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021 | 14 | 2021 |
| Learning to assess image quality like an observer X Yao, Q Cao, X Feng, G Cheng, J Han IEEE Transactions on Neural Networks and Learning Systems, 2022 | 9 | 2022 |
| Attention Erasing and Instance Sampling for Weakly Supervised Object Detection X Xie, G Cheng, X Feng, X Yao, X Qian, J Han IEEE Transactions on Geoscience and Remote Sensing, 2023 | 5 | 2023 |
| Learning an invariant and equivariant network for weakly supervised object detection X Feng, X Yao, H Shen, G Cheng, B Xiao, J Han IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 5 | 2023 |
| Rotation-invariant latent semantic representation learning for object detection in VHR optical remote sensing images X Yao, X Feng, G Cheng, J Han, L Guo IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 5 | 2019 |
| SAENet: Self-supervised adversarial and equivariant network for weakly supervised object detection in remote sensing images X Feng, X Yao, G Cheng, J Han, J Han IEEE Transactions on Geoscience and Remote Sensing 60, 2022 | | 2022 |
Gong Cheng（程塨）Professor, Northwestern polytechnical universityVerified email at nwpu.edu.cn
